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poetry.lock@fce4cae19357 (annotated)

poetry.lock

Mon, 29 Jan 2024 11:07:31 +0000

author

pilar <pilar.gumaclaramunt@cnr.it>

date

Mon, 29 Jan 2024 11:07:31 +0000

changeset 0

fce4cae19357

child 2

763a7ac22031

permissions

-rw-r--r--

First version

pilar@0	1	[[package]]
pilar@0	2	name = "certifi"
pilar@0	3	version = "2023.11.17"
pilar@0	4	description = "Python package for providing Mozilla's CA Bundle."
pilar@0	5	category = "main"
pilar@0	6	optional = false
pilar@0	7	python-versions = ">=3.6"
pilar@0	8
pilar@0	9	[[package]]
pilar@0	10	name = "cftime"
pilar@0	11	version = "1.6.3"
pilar@0	12	description = "Time-handling functionality from netcdf4-python"
pilar@0	13	category = "main"
pilar@0	14	optional = false
pilar@0	15	python-versions = ">=3.8"
pilar@0	16
pilar@0	17	[package.dependencies]
pilar@0	18	numpy = [
pilar@0	19	{version = ">1.13.3", markers = "python_version < \"3.12.0.rc1\""},
pilar@0	20	{version = ">=1.26.0b1", markers = "python_version >= \"3.12.0.rc1\""},
pilar@0	21	]
pilar@0	22
pilar@0	23	[[package]]
pilar@0	24	name = "h5netcdf"
pilar@0	25	version = "1.3.0"
pilar@0	26	description = "netCDF4 via h5py"
pilar@0	27	category = "main"
pilar@0	28	optional = false
pilar@0	29	python-versions = ">=3.9"
pilar@0	30
pilar@0	31	[package.dependencies]
pilar@0	32	h5py = "*"
pilar@0	33	packaging = "*"
pilar@0	34
pilar@0	35	[package.extras]
pilar@0	36	test = ["netcdf4", "pytest"]
pilar@0	37
pilar@0	38	[[package]]
pilar@0	39	name = "h5py"
pilar@0	40	version = "3.10.0"
pilar@0	41	description = "Read and write HDF5 files from Python"
pilar@0	42	category = "main"
pilar@0	43	optional = false
pilar@0	44	python-versions = ">=3.8"
pilar@0	45
pilar@0	46	[package.dependencies]
pilar@0	47	numpy = ">=1.17.3"
pilar@0	48
pilar@0	49	[[package]]
pilar@0	50	name = "netcdf4"
pilar@0	51	version = "1.6.5"
pilar@0	52	description = "Provides an object-oriented python interface to the netCDF version 4 library"
pilar@0	53	category = "main"
pilar@0	54	optional = false
pilar@0	55	python-versions = ">=3.7"
pilar@0	56
pilar@0	57	[package.dependencies]
pilar@0	58	certifi = "*"
pilar@0	59	cftime = "*"
pilar@0	60	numpy = "*"
pilar@0	61
pilar@0	62	[package.extras]
pilar@0	63	tests = ["cython", "packaging", "pytest"]
pilar@0	64
pilar@0	65	[[package]]
pilar@0	66	name = "numpy"
pilar@0	67	version = "1.26.3"
pilar@0	68	description = "Fundamental package for array computing in Python"
pilar@0	69	category = "main"
pilar@0	70	optional = false
pilar@0	71	python-versions = ">=3.9"
pilar@0	72
pilar@0	73	[[package]]
pilar@0	74	name = "packaging"
pilar@0	75	version = "23.2"
pilar@0	76	description = "Core utilities for Python packages"
pilar@0	77	category = "main"
pilar@0	78	optional = false
pilar@0	79	python-versions = ">=3.7"
pilar@0	80
pilar@0	81	[[package]]
pilar@0	82	name = "pandas"
pilar@0	83	version = "2.1.4"
pilar@0	84	description = "Powerful data structures for data analysis, time series, and statistics"
pilar@0	85	category = "main"
pilar@0	86	optional = false
pilar@0	87	python-versions = ">=3.9"
pilar@0	88
pilar@0	89	[package.dependencies]
pilar@0	90	numpy = [
pilar@0	91	{version = ">=1.22.4,<2", markers = "python_version < \"3.11\""},
pilar@0	92	{version = ">=1.23.2,<2", markers = "python_version == \"3.11\""},
pilar@0	93	{version = ">=1.26.0,<2", markers = "python_version >= \"3.12\""},
pilar@0	94	]
pilar@0	95	python-dateutil = ">=2.8.2"
pilar@0	96	pytz = ">=2020.1"
pilar@0	97	tzdata = ">=2022.1"
pilar@0	98
pilar@0	99	[package.extras]
pilar@0	100	test = ["hypothesis (>=6.46.1)", "pytest (>=7.3.2)", "pytest-xdist (>=2.2.0)"]
pilar@0	101	performance = ["bottleneck (>=1.3.4)", "numba (>=0.55.2)", "numexpr (>=2.8.0)"]
pilar@0	102	computation = ["scipy (>=1.8.1)", "xarray (>=2022.03.0)"]
pilar@0	103	fss = ["fsspec (>=2022.05.0)"]
pilar@0	104	aws = ["s3fs (>=2022.05.0)"]
pilar@0	105	gcp = ["gcsfs (>=2022.05.0)", "pandas-gbq (>=0.17.5)"]
pilar@0	106	excel = ["odfpy (>=1.4.1)", "openpyxl (>=3.0.10)", "pyxlsb (>=1.0.9)", "xlrd (>=2.0.1)", "xlsxwriter (>=3.0.3)"]
pilar@0	107	parquet = ["pyarrow (>=7.0.0)"]
pilar@0	108	feather = ["pyarrow (>=7.0.0)"]
pilar@0	109	hdf5 = ["tables (>=3.7.0)"]
pilar@0	110	spss = ["pyreadstat (>=1.1.5)"]
pilar@0	111	postgresql = ["SQLAlchemy (>=1.4.36)", "psycopg2 (>=2.9.3)"]
pilar@0	112	mysql = ["SQLAlchemy (>=1.4.36)", "pymysql (>=1.0.2)"]
pilar@0	113	sql-other = ["SQLAlchemy (>=1.4.36)"]
pilar@0	114	html = ["beautifulsoup4 (>=4.11.1)", "html5lib (>=1.1)", "lxml (>=4.8.0)"]
pilar@0	115	xml = ["lxml (>=4.8.0)"]
pilar@0	116	plot = ["matplotlib (>=3.6.1)"]
pilar@0	117	output-formatting = ["jinja2 (>=3.1.2)", "tabulate (>=0.8.10)"]
pilar@0	118	clipboard = ["PyQt5 (>=5.15.6)", "qtpy (>=2.2.0)"]
pilar@0	119	compression = ["zstandard (>=0.17.0)"]
pilar@0	120	consortium-standard = ["dataframe-api-compat (>=0.1.7)"]
pilar@0	121	all = ["beautifulsoup4 (>=4.11.1)", "bottleneck (>=1.3.4)", "dataframe-api-compat (>=0.1.7)", "fastparquet (>=0.8.1)", "fsspec (>=2022.05.0)", "gcsfs (>=2022.05.0)", "html5lib (>=1.1)", "hypothesis (>=6.46.1)", "jinja2 (>=3.1.2)", "lxml (>=4.8.0)", "matplotlib (>=3.6.1)", "numba (>=0.55.2)", "numexpr (>=2.8.0)", "odfpy (>=1.4.1)", "openpyxl (>=3.0.10)", "pandas-gbq (>=0.17.5)", "psycopg2 (>=2.9.3)", "pyarrow (>=7.0.0)", "pymysql (>=1.0.2)", "PyQt5 (>=5.15.6)", "pyreadstat (>=1.1.5)", "pytest (>=7.3.2)", "pytest-xdist (>=2.2.0)", "pyxlsb (>=1.0.9)", "qtpy (>=2.2.0)", "scipy (>=1.8.1)", "s3fs (>=2022.05.0)", "SQLAlchemy (>=1.4.36)", "tables (>=3.7.0)", "tabulate (>=0.8.10)", "xarray (>=2022.03.0)", "xlrd (>=2.0.1)", "xlsxwriter (>=3.0.3)", "zstandard (>=0.17.0)"]
pilar@0	122
pilar@0	123	[[package]]
pilar@0	124	name = "plotly"
pilar@0	125	version = "5.18.0"
pilar@0	126	description = "An open-source, interactive data visualization library for Python"
pilar@0	127	category = "main"
pilar@0	128	optional = false
pilar@0	129	python-versions = ">=3.6"
pilar@0	130
pilar@0	131	[package.dependencies]
pilar@0	132	packaging = "*"
pilar@0	133	tenacity = ">=6.2.0"
pilar@0	134
pilar@0	135	[[package]]
pilar@0	136	name = "python-dateutil"
pilar@0	137	version = "2.8.2"
pilar@0	138	description = "Extensions to the standard Python datetime module"
pilar@0	139	category = "main"
pilar@0	140	optional = false
pilar@0	141	python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
pilar@0	142
pilar@0	143	[package.dependencies]
pilar@0	144	six = ">=1.5"
pilar@0	145
pilar@0	146	[[package]]
pilar@0	147	name = "pytz"
pilar@0	148	version = "2023.3.post1"
pilar@0	149	description = "World timezone definitions, modern and historical"
pilar@0	150	category = "main"
pilar@0	151	optional = false
pilar@0	152	python-versions = "*"
pilar@0	153
pilar@0	154	[[package]]
pilar@0	155	name = "six"
pilar@0	156	version = "1.16.0"
pilar@0	157	description = "Python 2 and 3 compatibility utilities"
pilar@0	158	category = "main"
pilar@0	159	optional = false
pilar@0	160	python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
pilar@0	161
pilar@0	162	[[package]]
pilar@0	163	name = "tenacity"
pilar@0	164	version = "8.2.3"
pilar@0	165	description = "Retry code until it succeeds"
pilar@0	166	category = "main"
pilar@0	167	optional = false
pilar@0	168	python-versions = ">=3.7"
pilar@0	169
pilar@0	170	[package.extras]
pilar@0	171	doc = ["reno", "sphinx", "tornado (>=4.5)"]
pilar@0	172
pilar@0	173	[[package]]
pilar@0	174	name = "tzdata"
pilar@0	175	version = "2023.4"
pilar@0	176	description = "Provider of IANA time zone data"
pilar@0	177	category = "main"
pilar@0	178	optional = false
pilar@0	179	python-versions = ">=2"
pilar@0	180
pilar@0	181	[[package]]
pilar@0	182	name = "xarray"
pilar@0	183	version = "2023.12.0"
pilar@0	184	description = "N-D labeled arrays and datasets in Python"
pilar@0	185	category = "main"
pilar@0	186	optional = false
pilar@0	187	python-versions = ">=3.9"
pilar@0	188
pilar@0	189	[package.dependencies]
pilar@0	190	numpy = ">=1.22"
pilar@0	191	packaging = ">=21.3"
pilar@0	192	pandas = ">=1.4"
pilar@0	193
pilar@0	194	[package.extras]
pilar@0	195	accel = ["scipy", "bottleneck", "numbagg", "flox", "opt-einsum"]
pilar@0	196	complete = ["xarray"]
pilar@0	197	io = ["netcdf4", "h5netcdf", "scipy", "zarr", "fsspec", "cftime", "pooch", "pydap"]
pilar@0	198	parallel = ["dask"]
pilar@0	199	viz = ["matplotlib", "seaborn", "nc-time-axis"]
pilar@0	200
pilar@0	201	[metadata]
pilar@0	202	lock-version = "1.1"
pilar@0	203	python-versions = "^3.9"
pilar@0	204	content-hash = "a29db2b9d5a1fda0e045dfa5a0c1992490f2a2fc86f2c5283fbe0a691d860dd4"
pilar@0	205
pilar@0	206	[metadata.files]
pilar@0	207	certifi = []
pilar@0	208	cftime = []
pilar@0	209	h5netcdf = []
pilar@0	210	h5py = []
pilar@0	211	netcdf4 = []
pilar@0	212	numpy = []
pilar@0	213	packaging = []
pilar@0	214	pandas = []
pilar@0	215	plotly = []
pilar@0	216	python-dateutil = []
pilar@0	217	pytz = []
pilar@0	218	six = []
pilar@0	219	tenacity = []
pilar@0	220	tzdata = []
pilar@0	221	xarray = []